Students relied on scattered, ungoverned AI tools. Now, instructors configure secure AI agents tied to validated course materials.
A Chilean research university where 94% of students were already using AI tools independently, across an institution with no centralized governance, oversight, or pedagogical framework for AI adoption.
Without institutional structure, students and faculty gravitated toward unregulated third-party tools, creating fragmented experiences, privacy...
“What matters most is combining the power of artificial intelligence and modern technology with the expertise and creativity of educators so we can deliver a better learning experience for students.”
Catholic research university for undergraduate and graduate students.
Designed, configured, and deployed UC Chile's AyudantIA pedagogical agent platform on Azure
Enterprise software, cloud infrastructure, and consumer electronics platform.
Pontificia Universidad Católica de Chile's Student tutoring is part of this use case:
Related implementations across industries and use cases
Classrooms with 1:30 ratios left students behind. Now, 350M monthly queries route to specialized models for personalized tutoring.
Traditional courses left students unprepared to navigate massive codebases. Using AI, they bypass boilerplate to build sophisticated apps.
150+ siloed AI projects fragmented the campus. Standardizing on Copilot empowered students and staff to securely automate daily workflows.
Manually personalizing lessons overwhelmed 20,000 educators. Now, teachers use AI to quickly adapt materials for diverse learning needs.
Grading 20 handwritten essays took three hours. Now, AI drafts personalized feedback in minutes for educators to review and refine.
Deal data scattered across systems kept sellers from districts. AI unified it—leadership moved from retrospective reports to live intel.
Ops teams combed Gong, Zendesk, Slack, and Salesforce to answer routine questions. Now one query surfaces cited answers.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Students relied on scattered, ungoverned AI tools. Now, instructors configure secure AI agents tied to validated course materials.
A Chilean research university where 94% of students were already using AI tools independently, across an institution with no centralized governance, oversight, or pedagogical framework for AI adoption.
Without institutional structure, students and faculty gravitated toward unregulated third-party tools, creating fragmented experiences, privacy...
“What matters most is combining the power of artificial intelligence and modern technology with the expertise and creativity of educators so we can deliver a better learning experience for students.”
Catholic research university for undergraduate and graduate students.
Designed, configured, and deployed UC Chile's AyudantIA pedagogical agent platform on Azure
Enterprise software, cloud infrastructure, and consumer electronics platform.
Pontificia Universidad Católica de Chile's Student tutoring is part of this use case:
Related implementations across industries and use cases
Classrooms with 1:30 ratios left students behind. Now, 350M monthly queries route to specialized models for personalized tutoring.
Traditional courses left students unprepared to navigate massive codebases. Using AI, they bypass boilerplate to build sophisticated apps.
150+ siloed AI projects fragmented the campus. Standardizing on Copilot empowered students and staff to securely automate daily workflows.
Manually personalizing lessons overwhelmed 20,000 educators. Now, teachers use AI to quickly adapt materials for diverse learning needs.
Grading 20 handwritten essays took three hours. Now, AI drafts personalized feedback in minutes for educators to review and refine.
Deal data scattered across systems kept sellers from districts. AI unified it—leadership moved from retrospective reports to live intel.
Ops teams combed Gong, Zendesk, Slack, and Salesforce to answer routine questions. Now one query surfaces cited answers.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.